autointent.metrics.regexp_partial_precision

autointent.metrics.regexp_partial_precision(y_true, y_pred)

Calculate regexp partial precision.

The regexp partial precision is calculated as:

\[\text{Partial Precision} = \frac{\sum_{i=1}^N \mathbb{1}(y_{\text{true},i} \in y_{\text{pred},i})}{\sum_{i=1}^N \mathbb{1}(|y_{\text{pred},i}| > 0)}\]

where: - \(N\) is the total number of samples, - \(y_{\text{true},i}\) is the true label for the \(i\)-th sample, - \(y_{\text{pred},i}\) is the predicted label for the \(i\)-th sample, - \(|y_{\text{pred},i}|\) is the number of predicted labels for the \(i\)-th sample, - \(\mathbb{1}(\text{condition})\) is the indicator function that equals 1 if the condition is true and 0 otherwise.

Parameters:

• y_true (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – True values of labels

• y_pred (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – Predicted values of labels

Returns:

Score of the regexp metric

Return type:

float